Ben-Hamida, Sana
Evolutionary Algorithms
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.
In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms.
Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.
Nyckelord: Algorithms & Data Structures
- Författare
- Ben-Hamida, Sana
- Petrowski, Alain
- Utgivare
- John Wiley and Sons, Inc.
- Utgivningsår
- 2016
- Språk
- en
- Utgåva
- 1
- Sidantal
- 256 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (ePUB)
- 9781119136415
- Tryckt ISBN
- 9781848218048